APA (7th ed.) Citation

He, B., Ji, T., Zhang, H., Zhu, Y., Shu, R., Zhao, W., & Wang, K. (2019). MRI‐based radiomics signature for tumor grading of rectal carcinoma using random forest model. Journal of cellular physiology, 234(11), 20501-20509. https://doi.org/10.1002/jcp.28650

Chicago Style (17th ed.) Citation

He, Bo, Tao Ji, Hong Zhang, Yun Zhu, Ruo Shu, Wei Zhao, and Kunhua Wang. "MRI‐based Radiomics Signature for Tumor Grading of Rectal Carcinoma Using Random Forest Model." Journal of Cellular Physiology 234, no. 11 (2019): 20501-20509. https://doi.org/10.1002/jcp.28650.

MLA (9th ed.) Citation

He, Bo, et al. "MRI‐based Radiomics Signature for Tumor Grading of Rectal Carcinoma Using Random Forest Model." Journal of Cellular Physiology, vol. 234, no. 11, 2019, pp. 20501-20509, https://doi.org/10.1002/jcp.28650.